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Begin by logging into your ConvertKit account. Navigate to the "Subscribers" section where you can manage your email list. Click on the "Export" button to download your subscriber list. ConvertKit will email you a link to download a CSV file containing your data.
Check your email for the export link from ConvertKit. Click the link to download the CSV file to your computer. Ensure that the file is saved in a location where you can easily access it.
Open your web browser and go to Google Sheets. You can do this by visiting sheets.google.com. If you aren’t already logged in, sign in with your Google account to access your Google Sheets dashboard.
In Google Sheets, click on the “Blank” option to create a new spreadsheet. This will open a new, empty spreadsheet where you can import your data.
In the newly created Google Sheet, go to “File” in the top menu, select “Import,” and then choose “Upload.” Click “Select a file from your device” and locate the CSV file you downloaded from ConvertKit. Select the file and click “Open” to upload it.
A dialog box will appear where you can configure how the CSV data is imported into the Google Sheet. Choose “Replace spreadsheet” if you want the data to fill the entire sheet. Ensure the separator type is set to “Comma” since CSV stands for “Comma Separated Values.” Click “Import data” to finalize the process.
Once the data is imported, review the spreadsheet to ensure all information has been transferred correctly. You may need to adjust the column widths or format the data to suit your needs. Organize the data as desired, such as renaming columns or sorting rows.
By following these steps, you can manually move data from ConvertKit to Google Sheets effectively without the need for third-party connectors or integrations.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
ConvertKit is basically an email marketing platform for professional bloggers. ConvertKit assists you to increase and monetize your audience with ease. It helps you connect with your audience and increase your business using email marketing software that is so easy to use you can spend less time in our tool and more time creating. ConvertKit is an email marketing and email newsletter platform for capturing leads from your WordPress blog.
ConvertKit's API provides access to a wide range of data related to email marketing campaigns. The following are the categories of data that can be accessed through ConvertKit's API:
1. Subscribers: This category includes data related to subscribers such as their email address, name, location, and subscription status.
2. Forms: This category includes data related to forms such as form ID, name, and the number of subscribers who have signed up through the form.
3. Tags: This category includes data related to tags such as tag ID, name, and the number of subscribers who have been tagged.
4. Sequences: This category includes data related to sequences such as sequence ID, name, and the number of subscribers who have been added to the sequence.
5. Broadcasts: This category includes data related to broadcasts such as broadcast ID, name, and the number of subscribers who have received the broadcast.
6. Automations: This category includes data related to automations such as automation ID, name, and the number of subscribers who have been added to the automation.
7. Metrics: This category includes data related to metrics such as open rates, click-through rates, and conversion rates for email campaigns.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
